Marketing Data Analyst - Dashboards & Insights

University of Illinois Urbana-Champaign

Urbana (IL)

On-site

USD 70,000 - 85,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Retirement plan
Paid time off
Tuition waivers

Job summary

The University of Illinois Urbana-Champaign is seeking a collaborative Data Analyst to aggregate and analyze marketing data, providing insights to support strategy and efficiency within the Strategic Communications and Marketing team.

You will extract data from multiple sources, create Power BI dashboards, verify data accuracy, and deliver reports to administrators, faculty, and staff. The role emphasizes automation and data-driven decision making.

Qualifications

  • High school diploma or equivalent.
  • Two years of IT-related work experience or closely related field.
  • Experience marketing data analysis and data visualizations (Power BI).

Responsibilities

  • Extract data from multiple sources to create PowerBI reports and dashboards.
  • Verify data accuracy and resolve data issues.
  • Maintain up-to-date documentation on projects, processes, and reports.
  • Analyze paid marketing performance and advise on targeting, messaging, channels, and budget.
  • Provide reports and dynamic dashboards to support marketing decisions.
  • Assist administrators, faculty, and staff with timely, accurate data.
  • Design, develop, and maintain databases and dashboards; troubleshoot as needed.
  • Work toward automating reports to expand analytics capabilities.

Skills

Data analysis
Power BI
Reporting
Dashboard development

Education

High school diploma or equivalent

Tools

Power BI
Google Analytics
Slate CRM

Job description

The University of Illinois Urbana-Champaign is seeking a collaborative Data Analyst to aggregate and analyze marketing data, providing insights to support strategy and efficiency within the Strategic Communications and Marketing team.

You will extract data from multiple sources, create Power BI dashboards, verify data accuracy, and deliver reports to administrators, faculty, and staff. The role emphasizes automation and data-driven decision making.

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